Data Science Solutions
We are data scientists community aspired to leverage data analysis and machine learning expertise appling to business challenges
Our work samples
Industry: medicine
Detection and clustering of unicellular organism cells
The pipeline consists of several steps:
- Prepricessing of images.
- Detection of cells in the image.
- Extracting embeddings of detected cells with the help of encoder from pretrained convolution neural network.
- Clustering of cells, represented as 1000 dimensional vectors obtained by encoder, and eventually.
- Visualization of cells from the same cluster.
Technologies: yolov5, pythorch, sklearn, plotly, tsne.
Industry: retail
AI assistant of retail articles search.
System triggers to make a picture of items, which customer puts on the scale, and predicts labels of top probable classes.
The pretrained convolutional neural network model has been used for transfer learning. Model is deployed in the cloud and accessible through API. Converted model is also available to run in the offline points of sale.
There are several classifiers deployed in production e.g. assistant of searching articles of fruits and vegetables within over 40 classes.
Technologies: python, keras, cloud vision automl, gcp, fastapi, kubernetes.
Industry: retail
Recommender of items bought together
System discovers association rules by applying statistical analysis of probability of items to be purchased separately and conditional probability of items bought together. In order to explore the most relevant associations, it exploits apriory algorithm which is based on the following characteristics support, lift and confidence for each group of items.
Technologies: python, apriory, gcp.
Industry: retail
Fraud prevention
System collects behavioral characteristics during shopping trip of customer and predicts probability of potential fraud regarding to products scanned by customer.
Technologies: python, pythorch, gcp
Industry: retail
Customer retention
Model is trained on customers purchases history particularly it considers Recency, Frequency,
and Monetary metrics to segment customers into homogeneous groups. The discovered patterns
of customers behavior detects need of engagement with relevant campaigns to prevent customer churn.
Technologies: python, xgboost, bigquery, dataflow.
Industry: online content
Detection of violence of reviewing licensed online content
System analyzes images of video stream in real time to detect violence of license to review content by only person. In case of two or more people appear in the image taken from web camera or any attempt
to record the content by phone is detected, then the message with corresponding image gets sent to administrator to inform about the suspicious behavior.
In order to avoid latency issues, the model has been converted to run directly in browser.
Technologies: python, keras, tensorflow.js, django, django restframework.
Industry:L10n
Morphology service
System provides complex morphology analysis of given text data – part of speech tagging, lemmatization, tokenization (including Chinese, Korean and Japanese languages), extracting different types of named entities, glossary terms. System uses spacy models that are trained on custom data.
Technologies: python, spacy, flask, docker, AWS, CI/CD
Industry:L10n
Semantic Textual Similarity
Service helps clients to reduce localization costs by finding and grouping semantically similar strings in their projects before they go for translation.
Technologies: python, tensorflow, tf-serving, flask, docker, AWS, CI/CD
Industry:L10n
Aligning existing translations with proper source strings
Service helps to upload already translated files without identifier (html-like files, raw texts, etc) into localization management platform. It uses multilingual model to embed both source and translated strings into the same vector space and then finds the best possible match considering cosine distance, the file structure, and some other factors.
Technologies: python, tensorflow, tf-serving, flask, docker, AWS, CI/CD
Industry: e-commerce
Estimation of Sales and Share online retailer
Platform provides sales and market share estimates for clients’ products and competitors on one of large online retailers.
Technologies: python, pandas, sql, xgboost
Industry: e-commerce
Recommendation of target advertisement
The pipeline to determine the most probable candidates interesting in online education being based on information collected for site visitors.
Technologies: python, pandas, google maps api
Contacts
1A Sheptytskogo str. Ternopil, 46000, Ukraine
+38 096 771 85 80
suport@smartinsight.me
© 2021 smartinsight, Inc